AI tool to predict hospital-acquired infections using health records

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study evaluates an AI-assisted predictive model designed to identify and diagnose hospital-acquired infections (HAIs) by analyzing multimodal health data from electronic health records (EHR). The study aims to enhance early identification of patients at risk for HAIs by integrating various data sources, including medical history, lab results, and clinical observations. By improving the accuracy and efficiency of infection prediction, the study seeks to streamline clinical workflows and optimize infection control measures, ultimately aiming to reduce the incidence of HAIs and improve patient safety.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Patients with complete and accessible EHR data, including medical history, laboratory test results, treatment regimens, clinical observations, and infection history.
2. Patients who have been admitted to the participating hospital or healthcare facility during the study period.
3. All participants must provide informed consent to use their health data for research purposes.

Exclusion Criteria:

1. Patients with incomplete or missing critical EHR data, such as lab results, medical history, or treatment details, which are necessary for infection prediction.
2. Patients who have severe cognitive disorders, dementia, or conditions that prevent them from providing informed consent or participating in the study.
3. Patients who have not been admitted to the hospital during the study period or who are receiving outpatient care only.
4. Patients with terminal conditions where infection prediction may not be applicable to the clinical goals of the study.

Where it's running

• First Affiliated Hospital of Wenzhou Medical University
  Wenzhou, Zhejiang, China Recruiting
• Second Affiliated Hospital of Wenzhou Medical University
  Wenzhou, Zhejiang, China Recruiting

Study contacts

• Study coordinator: Fei Liu, MD
• Email: liufei_2359@163.com
• Phone: +86 13810512704

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.